Curvature-Variable Image Sensor Array with Mo₂TiC₂T_x MXene for Dark-field Multiview 3D Reconstruction Application.

Area of Science:

• Materials Science
• Artificial Intelligence
• Optoelectronics

Background:

• Current curved image sensors have limitations in intelligent artificial vision systems.
• Paper-based electronics offer unique properties for 3D curvy architectures.

Purpose of the Study:

• To propose a novel method for fabricating image sensors with variable curvature.
• To demonstrate the integration of Mo2TiCxTx and silver nanowires onto a paper-based substrate.
• To explore applications in artificial vision and spatial modeling.

Main Methods:

• Vacuum filtration and folding-pasting process assisted by a thermal release tape mask.
• Integration of Mo2TiCxTx and silver nanowires onto a paper-based substrate.
• Fabrication of both convex and concave curved image sensors.

Main Results:

• Achieved uniform, patterned, hierarchical, and damage-free integration of materials.
• Convex sensors enabled wide-field infrared light source tracking on a robotic dog.
• Concave sensors provided low-distortion imaging and facilitated spatial modeling via an array.

Conclusions:

• The proposed method enables variable curvature image sensors with enhanced functionality.
• These sensors show significant potential for advanced bionic compound eyes and artificial vision systems.
• The technology offers a damage-free approach for integrating diverse materials onto flexible substrates.